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License: MIT
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EUvsVirus_ProjectClusters

Collect project descriptions from EUvsVirus Hackathon devpost, and perform text analysis & clustering.

Results

Are accessible under https://rania.shinyapps.io/euvsvirus_collab/

Project Organization

├── LICENSE
├── README.md          <- The top-level README for developers using this project.
├── ETHICS.md          <- ETHICS checklist for this project.
│
├── environment.yml          <- Anaconda environment for reproducing the analysis environment, e.g.
│
├── data	<- Don't use this directory, as we have a DropBox folder for that.
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── docs               <- A default Sphinx project; see sphinx-doc.org for details.
│
├── models             <- Trained and serialized models, model predictions, or model summaries.
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator s initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
│
├── references         <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting.
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`.
│
└── src                <- Source code for use in this project.
     ├── __init__.py    <- Makes src a Python module.
     │
     ├── scraping           <- Scripts to scrape DevPost site.
     │
     ├── clustering       <- Scripts to cluster Hackathon projects.
     │
     ├── presentation	  <- Scripts to visualize and present insights.
     │
     └── test		<- Testscripts.

Contributors

Code Review: Stephan Wöber

License

MIT

Project based on the cookiecutter data science project template. #cookiecutterdatascience

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Collect project descriptions from EUvsVirus Hackathon devpost, and perform text analysis & clustering

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